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Platform Operation Manager (PaaS/SaaS)

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Onsite

Platform Operation Manager (PaaS/SaaS)

中國移動

Platform Operation Manager (PaaS/SaaS)

Skills

SQL QueriesBig DataCybersecurityAICompliance

18 days ago

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Important information


Location:

Hong Kong

Work mode:

Onsite

Published on:

9 October 2026

What they need


In this position, you will:

  • Design operation strategies, traffic governance and growth roadmap for the LLM PaaS/SaaS platform. Develop scientific Token cost & quality systems, quota allocation and risk control strategies to drive growth in platform API usage and active users while ensuring platform security and compliance.
  • Token Platform Operations: Build tiered pricing, package and billing models for LLM APIs based on the intelligent computing platform; monitor and analyze operational metrics including ARPU, retention rate and Token consumption trends to continuously optimize commercial ROI of the platform.
  • Traffic & Growth Strategy: Formulate user acquisition, retention and re-engagement strategies for internal and external users. Drive sustainable growth of API call volume by optimizing technical documentation, building case libraries and organizing developer events.
  • Quota & Multi-tenant Governance: Establish enterprise-grade Token quota allocation and dynamic adjustment mechanisms, and design refined QPS/RPM rate limiting schemes for different business lines and clients.
  • Traffic Risk Control & Security Audit: Build compliance review and risk control mechanisms for LLM input/output (Prompt/Completion) to prevent content violations, malicious scraping, privilege escalation and Prompt Injection attacks, securing platform traffic.
  • Cost & FinOps Analysis: Regularly deliver Token cost & revenue analysis reports, and implement refined computing resource consumption accounting for different models and business lines.

To be successful in this position, you should meet the following requirements:

  • 5 years or above relevant working experience
  • Bachelor’s degree or above in Computer Science, Communication Engineering, IT, Software Engineering, Information Security, Big Data, Artificial Intelligence or related disciplines.
  • Deep understanding of Token calculation mechanisms, Context Window, input/output cost differences and multimodal consumption characteristics.
  • Familiar with API lifecycle management, and gateway fundamentals including rate limiting, authentication and billing logic.
  • Proficient in SQL and BI tools, with strong data sensitivity and FinOps cost control awareness.
  • Capable of abstracting standalone operational activities into systematic platform capabilities.

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